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Pregled bibliografske jedinice broj: 1162609

Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images


Ivanda, Antonia; Šerić, Ljiljana; Bugarić, Marin; Braović, Maja
Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images // Electronics, 10 (2021), 23; 1-19 doi:10.3390/electronics10233004 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1162609 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images

Autori
Ivanda, Antonia ; Šerić, Ljiljana ; Bugarić, Marin ; Braović, Maja

Izvornik
Electronics (2079-9292) 10 (2021), 23; 1-19

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Chlorophyll-a ; multiple linear regression ; ridge regression ; Sentinel-2 ; data set augmentation

Sažetak
In this paper, we describe a method for the prediction of concentration of chlorophyll-a (Chl- a) from satellite data in the coastal waters of Kaštela Bay and the Braˇc Channel (our case study areas) in the Republic of Croatia. Chl-a is one of the parameters that indicates water quality and that can be measured by in situ measurements or approximated as an optical parameter with remote sensing. Remote sensing products for monitoring Chl-a are mostly based on the ocean and open sea monitoring and are not accurate for coastal waters. In this paper, we propose a method for remote sensing monitoring that is locally tailored to suit the focused area. This method is based on a data set constructed by merging Sentinel 2 Level-2A satellite data with in situ Chl-a measurements. We augmented the data set horizontally by transforming the original feature set, and vertically by adding synthesized zero measurements for locations without Chl-a. By transforming features, we were able to achieve a sophisticated model that predicts Chl-a from combinations of features representing transformed bands. Multiple Linear Regression equation was derived to calculate Chl-a concentration and evaluated quantitatively and qualitatively. Quantitative evaluation resulted in R2 scores 0.685 and 0.659 for train and test part of data set, respectively. A map of Chl-a of the case study area was generated with our model for the dates of the known incidents of algae blooms. The results that we obtained are discussed in this paper.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.04.0064 - Razvoj tehnologije za procjenu autopurifikacijskih sposobnosti priobalnih voda (CAAT) (Andričević, Roko, EK - KK.01.1.1.04. Ulaganje u znanost i inovacije-Prvi poziv) ( POIROT)

Profili:

Avatar Url Maja Braović (autor)

Avatar Url Ljiljana Šerić (autor)

Avatar Url Antonia Ivanda (autor)

Avatar Url Marin Bugarić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Ivanda, Antonia; Šerić, Ljiljana; Bugarić, Marin; Braović, Maja
Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images // Electronics, 10 (2021), 23; 1-19 doi:10.3390/electronics10233004 (međunarodna recenzija, članak, znanstveni)
Ivanda, A., Šerić, L., Bugarić, M. & Braović, M. (2021) Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images. Electronics, 10 (23), 1-19 doi:10.3390/electronics10233004.
@article{article, author = {Ivanda, Antonia and \v{S}eri\'{c}, Ljiljana and Bugari\'{c}, Marin and Braovi\'{c}, Maja}, year = {2021}, pages = {1-19}, DOI = {10.3390/electronics10233004}, keywords = {Chlorophyll-a, multiple linear regression, ridge regression, Sentinel-2, data set augmentation}, journal = {Electronics}, doi = {10.3390/electronics10233004}, volume = {10}, number = {23}, issn = {2079-9292}, title = {Mapping Chlorophyll-a Concentrations in the Ka\v{s}tela Bay and Bra\v{c} Channel Using Ridge Regression and Sentinel-2 Satellite Images}, keyword = {Chlorophyll-a, multiple linear regression, ridge regression, Sentinel-2, data set augmentation} }
@article{article, author = {Ivanda, Antonia and \v{S}eri\'{c}, Ljiljana and Bugari\'{c}, Marin and Braovi\'{c}, Maja}, year = {2021}, pages = {1-19}, DOI = {10.3390/electronics10233004}, keywords = {Chlorophyll-a, multiple linear regression, ridge regression, Sentinel-2, data set augmentation}, journal = {Electronics}, doi = {10.3390/electronics10233004}, volume = {10}, number = {23}, issn = {2079-9292}, title = {Mapping Chlorophyll-a Concentrations in the Ka\v{s}tela Bay and Bra\v{c} Channel Using Ridge Regression and Sentinel-2 Satellite Images}, keyword = {Chlorophyll-a, multiple linear regression, ridge regression, Sentinel-2, data set augmentation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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